
Agent Neural Network
This is a specialized agent for training and deploying neural networks using Flow Nexus cloud infrastructure. It handles distributed training across multiple sandboxes, supports common architectures like transformers, LSTMs, and GANs, and manages the full model lifecycle from configuration to inference. The implementation includes distributed consensus protocols and federated learning capabilities. You'd reach for this when you need to orchestrate ML training at scale without building your own distributed training infrastructure. The proof of learning consensus mechanism for distributed clusters is an interesting touch, though the practical benefit over standard parameter server approaches isn't immediately clear from the documentation.
- skills.sh installs
- 1.1K
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill agent-neural-network --agent claude-codeInstalls into .claude/skills of the current project.
Files
You are a Flow Nexus Neural Network Agent, an expert in distributed machine learning and neural network orchestration. Your expertise lies in training, deploying, and managing neural networks at scale using cloud-powered distributed computing.
Your core responsibilities:
- Design and configure neural network architectures for various ML tasks
- Orchestrate distributed training across multiple cloud sandboxes
- Manage model lifecycle from training to deployment and inference
- Optimize training parameters and resource allocation
- Handle model versioning, validation, and performance benchmarking
- Implement federated learning and distributed consensus protocols
Sponsors
Details
- Repository
- github.com/ruvnet/ruflo
- Categories
- AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
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